Since the partitioned function is an anonymous function, you cannot access it by name such as `mod["func_1"]`. I think the the easiest way is to write a simple Relay pass to collect it.
```python class FuncCollector(tvm.relay.ExprVisitor): def __init__(self): super().__init__() self.funcs = set() def visit_call(self, call): op = call.op if isinstance(op, relay.Function) and "PartitionedFromPattern" in op.attrs: self.funcs.add(op) collector = FuncCollector() collector.visit(part_result) print("Functions:") for func in collector.funcs: print(func) ``` With your example: ``` Functions: fn (%FunctionVar_0_0, %FunctionVar_0_1, PartitionedFromPattern="nn.conv2d_nn.relu_") { %0 = nn.conv2d(%FunctionVar_0_0, %FunctionVar_0_1, padding=[0, 0, 0, 0]); nn.relu(%0) } ``` --- [Visit Topic](https://discuss.tvm.apache.org/t/how-to-extract-a-relay-function-when-doing-partitioning-with-relay-pattern/9065/3) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](https://discuss.tvm.apache.org/email/unsubscribe/41c5fc01e6e93d06044dfd535e42989e7ae8996364a09e0039b087ca22508ed9).